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++ and Python. Experience with ROS is a plus Extensive hands-on/practical experience on developing, implementing and/or testing robotic systems Personal characteristics To complete a doctoral degree (PhD
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selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
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Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection
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proficient programming skills in one of the following: Python, Matlab, C/C++. Employment is contingent upon the candidate’s ability to obtain the required security clearance. See the last paragraph under
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criteria Strong skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning
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meet the requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills. Experience with programming in Python or similar languages PLEASE NOTE
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) Certificates or other relevant documentation (if applicable) Link(s) to public GitHub repositories or other code portfolios demonstrating relevant programming experience (e.g., in C++, Python, or Java
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. Strong research background in biometric security, presentation attack detection, or digital identity systems. Demonstrated programming skills in Python, MATLAB, or C++, and experience with deep learning
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using Python and Fortran Experience using non-linear finite element software, e.g., Abaqus Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work
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Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work